-
Exchange | LSE |
---|---|
CurrencyCode | EUR |
ISIN | IT0003153415 |
Sector | |
Industry |
Market Cap | 15B |
---|---|
PE Ratio | 0.1 |
Target Price | None |
Dividend Yield | 6.2% |
Beta | 0.65 |
Snam S.p.A., together with its subsidiaries, engages in the operation of natural gas transport and storage infrastructure. It operates through Transportation, Storage, Regasification, Energy Transition, and other segments. The company provides natural gas transportation and dispatching services; and owns and manages liquified natural gas (LNG) regasification plants. It also offers natural gas storage services through an integrated group of infrastructure comprising deposits, wells, gas treatment and compression plants, and the operational dispatching systems; and operates storage concessions located in Lombardy, Emilia-Romagna, and Abruzzo. In addition, the company provides energy efficiency solutions for companies, condominiums, tertiary, and public administration sectors; and invests, constructs, develops, and operates biogas and biomethane plants. Further, the company offers technical consulting services; and sells automotive compressed natural gas (CNG) compressors provided by refuelling stations. It operates a natural gas transportation network of approximately 40,000 kilometers in Italy, Austria, the United Arab Emirates, France, Greece, and the United Kingdom. The company was formerly known as Snam Rete Gas S.p.A. and changed its name to Snam S.p.A. in January 2012. Snam S.p.A. was founded in 1941 and is headquartered in San Donato Milanese, Italy.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for 0NQP.LSE using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025